Economics at UEA
Find out more about studying Economics at UEA, and browse our other courses.
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Why MSc Economics and Data Science at UEA?
This course is part of our Academic and Professional Programme. It’s designed for those who have already studied economics and are looking for intensive research-led training in advanced economic theory, econometrics, and data science.
What is MSc Economics and Data Science?
How can data scraped from property websites help reveal what truly drives house prices? How do banks use borrower data to build powerful credit scoring models? Can data science help prevent the next major cyber-attack? These are just a few of the real-world challenges that this MSc in Economics with Data Science will equip you to tackle.
You’ll learn the fundamentals of programming, data management, data analysis, and data visualisation. You’ll also dive deep into microeconomic and macroeconomic theory. You’ll learn advanced econometrics, both theoretical and applied.
Your dissertation is the capstone of your MSc. It’s an opportunity to apply your skills to a research topic of your choice, with expert guidance. You may also collaborate with external organisations, gaining valuable work-based learning experience and even exploring a potential pathway to PhD study.
You’ll study in the historic and lively city of Norwich. Alongside first-class academic training at UEA, you’ll have access to outstanding extracurricular and sporting opportunities.
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Find out more about studying Economics at UEA, and browse our other courses.
Find out moreWith an MSc Economics and Data Science degree, you could launch a career in:
Government Economic Service
Behavioural Science
Financial Analysis
Healthcare Consultancy
academic Research
The School of Economics is committed to your future, offering tailored career support through employer visits, professional skills workshops, and personalised one-on-one guidance. Whether you aim to become a professional economist or an academic researcher, this course will be your steppingstone.
UEA Career Central(opens in a new window) offers a range of careers services to support you whether you have a clear vision or trying to find your path. Within their portal, you’ll have access to a range of career fairs, skills sessions and talks as well as external employability events, student jobs,and internships.
Upon completing this MSc, you can pursue a variety of careers as a professional economist in government, industry, international agencies and other similar organisations, or you can pursue an academic career in Economics. Past graduates from the School of Economics have gone on to work for HM Treasury, the Home Office, Bank of England, Aviva, Barclays, M+A Partners, BDO, Deloitte, Ernst and Young, Goldman Sachs, Grant Thornton, HSBC, JP Morgan, KPMG, Lloyds, PwC and Santander amongst others.
If you want to pursue a PhD, you’ll be well-prepared for continuing into an academic career. Several of our former PhD students now hold lecturer positions in university departments both in the UK and internationally.
This MSc in Economics and Data Science is a 12-month course, commencing with the pre-sessional course in September.
Your journey starts with pre-sessional training in matrix algebra and optimisation, with an introduction to the software packages STATA and Python.
Then you’ll take taught modules over two semesters. You’ll learn the fundamentals of programming, data management, data analysis, and data visualisation. At the same time, you’ll learn advanced microeconomics, advanced macroeconomics, and theoretical and applied econometrics. You’ll also see important linkages between data science and economics.
To prepare for your dissertation, you'll attend a series of training lectures covering how to choose a topic, access data, conduct literature reviews, and analyse quantitative data. You’ll also benefit from additional lab-based dissertation training workshops.
Whilst the University will make every effort to offer the modules listed, changes may sometimes be made arising from the annual monitoring, review and update of modules. Where this activity leads to significant (but not minor) changes to programmes and their constituent modules, the University will endeavour to consult with students and others. It is also possible that the University may not be able to offer a module for reasons outside of its control, such as the illness of a member of staff. In some cases optional modules can have limited places available and so you may be asked to make additional module choices in the event you do not gain a place on your first choice. Where this is the case, the University will inform students.
Teaching and Learning
UEA’s School of Economics is a vibrant, friendly, research-focused community known for its excellence in teaching and innovation. Our dynamic teaching approach blends lectures, workshops, student presentations, group activities, IT lab sessions, and guest lectures from industry and academic experts. You'll benefit from a truly research-led experience, as many of our faculty are actively working at the cutting edge of data science in economics.
From day one, you’ll be set up for success with our intensive pre-sessional training. You’ll gain knowledge and confidence in core areas like calculus, matrix algebra, and STATA, which is an essential tool in today’s econometrics landscape.
You'll take several taught modules, spread over two semesters. In a typical module, you'll have two hours of lectures and one hour of workshops (or lab sessions) per week. Your workshops are more interactive than lectures and provide you with an opportunity to raise questions arising from lectures.
In your programming and econometrics modules, your workshops will take place in computer labs. You'll learn to programme in Python, access a wide variety of data sources, and conduct econometric analysis using the specialist econometric software package, STATA.
You’ll also develop strong independent study skills as you work on coursework assignments, prepare for seminars, and engage in wider reading. These abilities become especially valuable when you begin working on your dissertation.
Assessment
Assessment will take a variety of forms, including formal examinations, take-home assignments, seminar presentations, written tests, computer tests and your dissertation.
Some assessments require you to use AI technologies. In these tasks, you'll learn to harness AI’s capabilities positively and constructively, with a strong emphasis on critically evaluating AI outputs.
You’ll also regularly complete formative assessment tasks, giving you the opportunity to practise assessment activities without affecting your module marks. When marked assessments are returned, you’ll receive constructive written feedback to support your continued improvement.
If you have additional needs due to disabilities such as sensory impairment, or learning difficulties such as dyslexia, you can obtain help from our Student Support(opens in a new window) servies.
UK and International fee-paying students. Choose UK or International above to see relevant information. The entry point is in September each year.
Bachelors degree - 2.2
Economics
Our Admissions Policy applies to the admissions of all postgraduate applicants.
UK and International fee-paying students. Choose UK or International above to see relevant information. The entry point is in September each year.
UK Bachelors degree - 2.2 or equivalent
Economics
Applications from students whose first language is not English are welcome. We require evidence of proficiency in English (including writing, speaking, listening and reading):
IELTS: 6.0 overall with minimum 6.0 in Writing & Speaking and 5.5 in Listening & Reading
We also accept a number of other English language tests. Review our English Language Equivalencies(opens in a new window) for a list of example qualifications that we may accept to meet this requirement.
Test dates should be within two years of the course start date.
If you do not meet the English language requirements for this course, INTO UEA offer a variety of English language programmes which are designed to help you develop the required English skills.
Our Admissions Policy applies to the admissions of all postgraduate applicants.
Tuition fees for the Academic Year 2027/28 are:
UK Students: £13,000
International Students: £25,000
We estimate living expenses at £1,171 per month.
If you choose to take this course with a placement year, your tuition fees for the first year will be as shown above. An additional fee of £3,500 will apply for the placement year (see our FAQs page for further details).
Further Information on tuition fees can be found here(opens in a new window).
Scholarships and Bursaries
The University of East Anglia offers a range of Scholarships(opens in a new window); please click the link for eligibility, details of how to apply and closing dates.
Please see Additional Course Fees(opens in a new window) for details of course-related costs.
Applications for Postgraduate Taught programmes at the University of East Anglia should be made directly to the University.
To apply please use our online application form(opens in a new window).
If you would like to discuss your individual circumstances prior to applying, please do contact us:
Postgraduate Admissions Office
Tel: +44 (0)1603 591515
Email: admissions@uea.ac.uk(opens in a new window)
International candidates are also encouraged to access the International Students(opens in a new window) section of our website.
Economics and Data Science starting September 2027 for 1 year